- Abstract:
-
Staphylococcus aureus is an important pathogen, giving rise to antimicrobial resistance in cell strains such as Methicillin Resistant S. aureus (MRSA). Here we report an image analysis framework for automated detection and image segmentation of cells in S. aureus cell clusters, and explicit identification of their cell division planes.Weuse a new combination of several existing analytical tools of image analysis to detect cellular and subcellular morphological features relevant to cell divisi...
Expand abstract - Publication status:
- Published
- Peer review status:
- Peer reviewed
- Version:
- Publisher's version
- Files:
-
-
(pdf, 2.3mb)
-
- Publisher copy:
- 10.1088/1478-3975/13/5/055002
-
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- Publisher:
- Institute of Physics Publisher's website
- Journal:
- Physical Biology Journal website
- Volume:
- 13
- Issue:
- 5
- Pages:
- 055002
- Publication date:
- 2016-10-17
- Acceptance date:
- 2016-09-07
- DOI:
- EISSN:
-
1478-3975
- ISSN:
-
1478-3967
- Pubs id:
-
pubs:821226
- URN:
-
uri:c962e580-e0d3-4729-b52a-254f1409a41b
- UUID:
-
uuid:c962e580-e0d3-4729-b52a-254f1409a41b
- Local pid:
- pubs:821226
- Copyright holder:
- IOP Publishing Ltd
- Copyright date:
- 2016
- Notes:
- ©2016 IOP Publishing Ltd. Original content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
Journal article
An automated image analysis framework for segmentation and division plane detection of single live Staphylococcus aureus cells which can operate at millisecond sampling time scales using bespoke Slimfield microscopy
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White Rose Consortium
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Biological Physical Sciences Institute
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University of York
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